Software tool addresses multi-sensor application development

May 31, 2016 //
By Christoph Hammerschmidt

Developers of algorithms for Advanced Driver Assistance Systems (ADAS) and automated driving see major challenges like sensor fusion and processing of data from multiple data-rich sensors. For such tasks, the vADASdeveloper Version 2 software tool from Vector Informatik offers comprehensive support.

The tool enables developers to handle a broad range of tasks, ranging from multi-sensor data recording to quick visualization of results. Even algorithm development along with implementation in simulation and testing systems can be realized in this way.

With the new Version 2.0, the tool combines signal-oriented automotive measuring technology with object-orientated data fusion development. Access to network signals by CAN, LIN, FlexRay and Ethernet/BroadR-Reach is now completely by means of Vector bus interfaces. Input data objects for data fusion can be configured graphically from individual signals. Real-time access of ECU internal data is supported via the XCP protocol and can be enhanced with the VX1000 measurement and calibration hardware. All input signals can be timestamped consistently using the XCP 1.3 protocol and Vector hardware synchronization.

Visualization can be adapted to any application, both for scenarios
with moving objects such as highway assist or lane change assist
with blind-spot monitoring and for scenarios with
mostly static objects/obstacles like in automated parking.
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An additional new feature enables the playback of previously recorded data in MDF format as well as videos in AVI format. In this way, ADAS developers can now use vehicle data recorded in CANape or other measuring tools for algorithm development.

Typical sensors such as cameras, radar, LiDAR etc. can be integrated easily and also linked graphically. All sensor data as well as algorithm results are presented by vADASdeveloper with a clear overview, not only from a bird's eye view but also as an object overlay in the reference video image. Individually adapted visualizations may also added by the user by means of WinForms or WPF.

For development of the surrounding environment model, the Create software library from Vector partner Baselabs is available. With its pre-implemented data fusion algorithms as well as system and sensor models, this library makes it easier to run the work process